at a customer location. As a Data Scientist on our team you will provide support and related services to help simplify, automate, and hasten data movement across the mission platform. The successful individual will perform end-to-end systems engineering for data flows from the perspective of data modeling, data mapping, and support to implementers and mission customers.
This position requires strong software and systems engineering expertise across the full life cycle of data and limited need for high-level direction. Key activities include: Framing, defining, and bounding Enterprise level data needs and concerns into broad actionable initiatives with clearly identifiable downstream tasking
Recommending new automation strategies and maturing current automation efforts Performing high-level data requirements analysis to support the application of data standards across the enterprise.
Operating within, and coordinating across, teams that employ varying development methodologies (Agile, Scrum, and Kanban). Possessing an instinctive aptitude to leverage information and knowledge sharing networks and navigating conflict in a way that fosters constructive outcomes. The selected candidate will demonstrate the aptitude to learn and grow in the following areas. Experience in one or more of these areas will greatly increase the probability of success. Hands on data wrangling: Extract
Transform Load (or ETL), Databases, DBA, shell scripting Hands on experience with Data Serializations (AVRO/protobuf/YAML/XML/JSON) Problem framing, pattern recognition, AI/ML exposure SIGINT understanding Facility with data query DSLs (e.
g. SQL) Qualifications Individual Capabilities/Experience Required: Bachelor's degree Computer Science, Mathematics, or related discipline plus nine years of experience in Mathematics/Statistics, Computer Science, and analysis of data syntax and semantics, High School Diploma or GED plus ten years of experience in Mathematics/Statistics, Computer Science, and analysis of data syntax and semantic; a Master's degree from an accredited college or university in Computer Science, Mathematics, or related discipline and six years of experience; or a or Ph D degree from an accredited college or university in Computer Science, Mathematics, or related discipline and three years of experience.
Position requires TS/SCI clearance with polygraph. Applicants selected will be subject to a government security investigation and must meet eligibility requirements for access to classified information. Peraton is an Equal Opportunity/Affirmative Action Employer. We consider applicants without regard to race, color, religion, age, national origin, ancestry, ethnicity, gender, gender identity, gender expression, interactionual orientation, marital status, veteran status, disability, genetic information, citizenship status, or membership in any other group protected by federal, state, or local law.
Peraton Overview Peraton drives missions of consequence spanning the globe and extending to the farthest reaches of the galaxy. As the world's leading mission capability integrator and transformative enterprise IT provider, we deliver trusted and highly differentiated national security solutions and technologies that keep people safe and secure.
Peraton serves as a valued partner to essential government agencies across the intelligence, space, cyber, defense, civilian, health, and state and local markets. Every day, our employees do the can't be done, solving the most daunting challenges facing our customers. Target Salary Range $146,000 - $234,000. This represents the typical salary range for this position based on experience and other factors. EEO An Equal Opportunity Employer including Disability/Veteran. All For more details: jobs-search. org/architecture-construction_columbia-c434176/enterprise-data-scientist-security-clearance-required-columbia_i1971528816
(NLP), and the application of analysis algorithms on distributed, clustered, and cloud-based high-performance infrastructures.
Exercises creativity in applying non-traditional approaches to large-scale analysis of unstructured data in support of high-value use cases visualized through multi-dimensional interfaces.
Analyze and investigate data sets and summarize their main characteristics, often employing data visualization methods. Exploratory Data Analysis (EDA) Handle processing and index requests against high-volume collections of data and high-velocity data streams. Research and test novel machine learning approaches for analyzing large-scale distributed computing applications.
Suggest innovative and creative concepts and ideas that would improve the overall platform Strong understanding of the most recent trends around telecom industry and technology adoption Strong technical and computational skills - engineering, physics, mathematics, coupled with the ability to code design, develop, and deploy sophisticated applications and prototypes using advanced unstructured and semi-structured data analysis techniques and utilizing high-performance computing environments.
Utilize advance tools and computational skills to interpret, connect, predict, and make discoveries in complex data and deliver recommendations for business and analytic decisions. Required Experience/Education:
Active TS/SCI clearance with ability to pass a polygraph Full time work in a SCIF is required, but hours are flexible.
Degree in computer science, software engineering, or field applicable to the position required. Bachelor's and 6+ years of relevant experience required. Additional experience may be considered in lieu of degree. Experience with data transport and transformation APIs and technologies such as JSON, XML, XSLT, JDBC, and REST. Experience with Cloud-based data analysis tools including Hadoop and Mahout, Acumulo, Hive, Impala, Pig, and similar. Experience with visual analytic tools like Microsoft Pivot, Palantir, or Visual Analytics.
Experience with open-source textual processing such as Lucene, Sphinx, Nutch or Solr. Experience with entity extraction and conceptual search technologies such as LSI, LDA, etc. Experience with machine learning, algorithm analysis, and data clustering Experience with Python scripting, Pandas, Excel Experience with Jupyter Notebooks Data Analysis, Engineering and Enrichment Strong testing and verification skills Ability to work in a fast-paced, high visibility environment Preferred/Desired Experience: Security+ or other IAT II/III level certification that is currently active Arc GIS automation and modeling Experience with SAFEHOUSE web GIS platform For more details: jobs-search.
org/data-scientist_annapolis-junction-c433930/data-scientist-mid-security-clearance-required-annapolis-junction_i1971246576
solutions that make a difference for the end-users we serve. It's both challenging and deeply rewarding. ” -- Mitchell, Senior Systems Engineer, Annapolis Junction MD Our team is expanding to do the big things that have never been done before – the things the nation and the world are counting on us to deliver.
As a Data Scientist with our Intel Division, you will develop machine learning, data mining, statistical and graph-based algorithms to analyze and make sense of datasets; prototype or consider several algorithms and decide upon final model based on suitable performance metrics; build models or develop experiments to generate data when training or example datasets are unavailable;
generate reports and visualizations that summarize datasets and provide data-driven insights to customers; partner with subject matter experts to translate manual data analysis into automated analytics; implement prototype algorithms within production frameworks for integration into analyst workflows.
If that sounds like you and you’re ready to make an impact now, not later, read on for the details and apply to make the most of your career. You’d like to do this Produce data visualizations that provide insight into dataset structure and meaning Work with subject matters experts (SMEs) to identify important information in raw data and develop scripts that extract this information from
a variety of data formats (e. g. SQL tables, structured metadata, network logs) Incorporate SME input into feature vectors suitable for analytic development and testing Translate customer qualitative analysis process and goals into quantitative formulations that are coded into software prototypes Develop and implement statistical, machine learning, and heuristic techniques to create descriptive, predictive, and prescriptive analytics Develop statistical tests to make data-driven recommendations and decisions Develop experiments to collect data or models to simulate data when required data are unavailable Develop feature vectors for input into machine learning algorithms Identify the most appropriate algorithm for a given dataset and tune input and model parameters Evaluate and validate the performance of analytics using standard techniques and metrics (e.
g. cross validation, ROC curves, confusion matrices) Oversee the development of individual analytic efforts and guide team in analytic development process Guide analytic development toward solutions that can scale to large datasets Partner with software engineers and cloud developers to develop production analytics Develop and train machine learning systems based on statistical analysis of data characteristics to support mission automation You’re required to have this Bachelor's degree from an accredited college or university in a quantitative discipline Five years of experience analyzing datasets and developing analytics OR Five years of experience programming with data analysis software such as R, Python, SAS, or MATLAB.
An active TS/SCI with a Polygraph About Blue Halo Intelligence Systems Blue Halo's Intel division provides specialized operational support, services and technology to plan, design, develop and execute critical missions in the national security community. Blue Halo generates actionable insights from analytics through a suite of operationalized AI/ML tools for data collection/ingestion and subsequent text, geospatial, time series and image/video analytics to support open-source intelligence.
Blue Halo is a national source for classified Cyber/SIGINT missions and a leading provider of blockchain/crypto analytics and platform cyber resiliency, specializing in offensive and defensive cyber and SIGINT warfare technologies. Leading the Transformation The Blue Halo Effect It speaks to who we are as a company, a global protective ring that shields everything we most want to safeguard, an unbroken line that ensures our customers retain the advantage in any battlespace, from high above the Earth to deep in cyberspace.
It’s who we are, a halo, a protector, the light of inspired engineering keeping our Nation safe. Our vision is a world where national security is certain because technical superiority is assured. Join us and become a vital element of The Blue Halo Effect! EEO Statement Blue Halo is committed to hiring and retaining a diverse workforce. We are proud to be an Equal Opportunity/Affirmative Action Employer, making decisions without regard to race, color, religion, creed, interaction, interactionual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class.
U. S. Citizenship is required for most positions. If you are an individual with a disability and would like to request a reasonable workplace accommodation for any part of the employment process, please send an email to xyz X@. Please indicate the specifics of the assistance needed. This option is reserved only for individuals who are requesting a reasonable workplace accommodation. It is not intended for other purposes or inquiries.
For more details: jobs-search. org/data-scientist_annapolis-junction-c433930/data-scientist-security-clearance-required-annapolis-junction_i1970373539
for maintaining a highly-used production system. The developer will work directly with the customer and users to improve user workflows and provide improved capabilities. The ideal candidate will have experience with: JSP Java Git CI/CD Jenkins Maven #divergent #dvscyber Here’s What You’ll Need: Required Skills: JSP Java Git Desired Skills: CI/CD Jenkins Maven Minimum Education: Bachelor’s degree in Computer Science or related technical discipline from an accredited college or university.
Minimum Years of Experience: Fourteen (14) years of experience with a Bachelor’s degree or eighteen (18) years without a degree. #divergent #dvscyber For more details: jobs-search. org/sciences_columbia-c434176/job_i1970649805
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Science Jobs are specialized career paths within the field of science that encompass a wide range of disciplines such as biology, chemistry, physics, environmental science, and more. These jobs often require a strong educational foundation and specialized training. Key features of science jobs include a focus on research and development, data analysis, and the practical application of scientific knowledge to solve real-world problems. Additionally, professionals in science jobs are typically engaged in expanding the frontiers of scientific understanding and contributing to technological and medical advancements. These roles can be found in academia, government agencies, private sector research labs, and industrial settings.
Science Jobs refer to employment opportunities within the various fields of science, such as biology, chemistry, physics, and environmental science. These positions often require a strong educational background in their respective disciplines and can range from academic research and teaching roles to industry-based positions in pharmaceuticals, technology, and more. Unique features of Science Jobs include a focus on innovation, evidence-based analysis, and the exploration of the natural world. They contribute significantly to technological advancements and the betterment of society through scientific discovery and application.
Science Jobs are career positions specifically within the wide domain of science, spanning across various disciplines including biology, chemistry, physics, and environmental science, among others. These jobs often feature a focus on research, development, innovation, and exploration. They can be found within academic institutions, private sector companies, research organizations, and government agencies. Characteristics of science jobs include a strong emphasis on analytical skills, problem-solving, critical thinking, and a commitment to continuous learning to keep pace with evolving scientific knowledge and technological advancements.
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